CommBox:利用传感器进行实时板球镜头识别和评论生成

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI:10.1109/COMSNETS.2017.7945426

Ashish Sharma, Jatin Arora, Pritam Khan, Sidhartha Satapathy, S. Agarwal, Satadal Sengupta, S. Mridha, Niloy Ganguly

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引用次数: 2

摘要

由于互联网提供了访问大量体育网站的途径，在线板球评论已经变得非常流行。对他们来说，一个关键的挑战是为他们的读者提供一个富有洞察力和快节奏的现场评论。在本文中，我们提出了一个框架，使用传感器数据作为机器学习模型的特征来自动识别板球镜头和生成评论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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CommBox: Utilizing sensors for real-time cricket shot identification and commentary generation

Online cricket commentary has become very popular as the internet provides access to a large number of sports websites. A key challenge for them is to offer their readers an insightful and fast paced live commentary. In this paper, we propose a framework to automate cricket shot identification and commentary generation using sensor data as features for machine learning models.

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来源期刊

2017 9th International Conference on Communication Systems and Networks (COMSNETS)

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